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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 23668
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    Explanations

    images or visuals referenced in the text

    oai_token-act-pair · gpt-3.5-turbo

    instances of visual content or images mentioned in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uum
    -0.78
    aternity
    -0.74
    iability
    -0.71
    ciating
    -0.70
    unin
    -0.67
    ulum
    -0.67
    hur
    -0.66
    laws
    -0.64
    kson
    -0.64
    chance
    -0.64
    POSITIVE LOGITS
     courtesy
    1.30
     Courtesy
    1.11
     ©
    1.08
     gallery
    1.00
     Thumbnails
    0.99
     Shutterstock
    0.96
    gallery
    0.95
     caption
    0.95
    Courtesy
    0.93
     Provided
    0.92
    Activations Density 0.096%

    No Known Activations